NCA-GENL practice examsFinished
NVIDIA-Certified Associate: Generative AI LLMs
Generative AI and large language models with NVIDIA tools: machine learning and transformer fundamentals, embeddings and RAG, prompt engineering and customization, data analysis, experimentation and evaluation, inference optimization and deployment with TensorRT, Triton and NIM, and trustworthy AI.
What you get
Papers are cut from the bank and weighted like the real exam, and no question appears in two of them. Every wrong answer comes back on later days until you have it right.
What the exam covers
| Core Machine Learning and AI Knowledge | 30% |
| Data Analysis and Visualization | 14% |
| Experimentation | 22% |
| Software Development | 24% |
| Trustworthy AI | 10% |
Two sample questions
1. Training and validation loss both stay high and flat. What does this suggest?
- Overfitting
- Data leakage
- Perfect fit
- Underfitting — correct
Why: Both training and validation loss staying high and flat suggests underfitting: the model is too simple to capture the pattern.
2. Which waste does PagedAttention remove?
- Recomputing the attention for the first token
- Over-provisioned contiguous buffers per request — correct
- Loading the tokenizer for every request
- Copying weights between GPUs each step
Why: PagedAttention removes the fragmentation and waste of over-provisioning a contiguous buffer for the maximum sequence length, allowing larger batches.
The real NCA-GENL exam
| Length | 60 minutes |
|---|---|
| Questions | 50-60 |
| Pass mark | Not published; NVIDIA does not publish passing scores |
| Price | $125 USD |
| Recommended before you sit it | None. NVIDIA recommends a basic understanding of generative AI and large language models. |
| Valid for | 2 years |
Exam facts as published by NVIDIA; always check the vendor’s page before you book.
Study NCA-GENL with Chiron
Chiron is invitation-only while we are in beta, and nothing is for sale yet: invited accounts use every paper, drill and course note for free.